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Vibration Response and Damage Detection of Carbon/ Epoxy Beams at Elevated Temperatures using the Hilbert-Huang Transform
Technical Paper
2015-01-2586
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The vibration response from undamaged and damaged polymer matrix composite beams at elevated temperatures is analyzed using the Hilbert-Huang Transform (HHT) technique. The HHT shows potential in identifying the nonlinear damaged response of the beams. Using empirical mode decomposition to separate superposed modes of signals, several intrinsic mode functions can be determined which can reveal more information about complex nonlinear signals than traditional data analysis techniques such as the Fourier Transform. The composite beams are fabricated from an out-of-autoclave uniaxial carbon/epoxy prepreg (CYCOM™-5320-1/T650). Delamination damage in the composite layups is introduced by insertion of mold release wax films during fabrication. A shaker-table fixture was used for the vibration testing of all beams in a vertical cantilever configuration. High temperature piezoelectric accelerometers were used to obtain the vibration data for a frequency range of 1-61 Hz. This study investigates the effect of damage on the measured vibration data using intrinsic mode functions and Hilbert Huang spectrums.
Authors
Citation
Michael, B., Sullivan, R., Samaratunga, D., and Jha, R., "Vibration Response and Damage Detection of Carbon/ Epoxy Beams at Elevated Temperatures using the Hilbert-Huang Transform," SAE Technical Paper 2015-01-2586, 2015, https://doi.org/10.4271/2015-01-2586.Also In
References
- Farrar , C. R. , Doebling , S. W. , & Nix , D. A. 2001 Vibration-based structural damage identification. Philosophical Transactions of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences 359 1778 131 149
- Diamanti , K. , & Soutis , C. 2010 Structural health monitoring techniques for aircraft composite structures Progress in Aerospace Sciences 46 8 342 352
- Carpinteri , A. , Lacidogna , G. , & Pugno , N. 2007 Structural damage diagnosis and life-time assessment by acoustic emission monitoring Engineering Fracture Mechanics 74 1 273 289
- Rose , J. L. 2004 Ultrasonic waves in solid media Cambridge university press
- Kessler , S. S. , Spearing , S. M. , & Soutis , C. 2002 Damage detection in composite materials using Lamb wave methods Smart Materials and Structures 11 2 269
- Raghavan , A. , & Cesnik , C. E. 2007 Review of guided-wave structural health monitoring Shock and Vibration Digest 39 2 91 116
- Samaratunga , D. , Jha , R. , & Gopalakrishnan , S. 2014 Wavelet spectral finite element for wave propagation in shear deformable laminated composite plates Composite Structures 108 341 353
- Samaratunga , D. , Jha , R. , & Gopalakrishnan , S. 2014 Wave propagation analysis in laminated composite plates with transverse cracks using the wavelet spectral finite element method Finite Elements in Analysis and Design 89 19 32
- Farrar , C. R. , Hemez , F. M. , Shunk , D. D. , Stinemates , D. W. , Nadler , B. R. , & Czarnecki , J. J. 2004 A review of structural health monitoring literature: 1996-2001 (p. 303) Los Alamos, NM Los Alamos National Laboratory
- Sohn , H. , & Farrar , C. R. 2001 Damage diagnosis using time series analysis of vibration signals Smart materials and structures 10 3 446
- Yang , J. N. , & Lin , S. 2005 Identification of parametric variations of structures based on least squares estimation and adaptive tracking technique Journal of engineering mechanics 131 3 290 298
- Yang , J. N. , Lin , S. , Huang , H. , & Zhou , L. 2006 An adaptive extended Kalman filter for structural damage identification Structural Control and Health Monitoring 13 4 849 867
- Huang , H. , & Yang , J. N. 2008 Damage identification of substructure for local health monitoring Smart Structures and Systems 4 6 795 807
- Bayissa , W. L. , Haritos , N. , & Thelandersson , S. 2008 Vibration-based structural damage identification using wavelet transform Mechanical Systems and Signal Processing 22 5 1194 1215
- Kunwar , A. , Jha , R. , Whelan , M. , & Janoyan , K. 2013 Damage detection in an experimental bridge model using Hilbert-Huang transform of transient vibrations Structural Control and Health Monitoring 20 1 1 15
- Huang , N. E. , Shen , Z. , Long , S. R. , Wu , M. C. , Shih , H. H. , Zheng , Q. , .. & Liu , H. H. 1998 March The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences (Vol. 454, No. 1971, pp. 903-995.) The Royal Society
- Vincent , H. T. , Hu , S. L. J. , & Hou , Z. 1999 September Damage detection using empirical mode decomposition method and a comparison with wavelet analysis Proceedings of the second international workshop on structural health monitoring Stanford 891 900
- Quek , S. T. , Tua , P. S. , & Wang , Q. 2003 Detecting anomalies in beams and plate based on the Hilbert-Huang transform of real signals Smart materials and structures 12 3 447
- Yang , J. N. , Lei , Y. , Lin , S. , & Huang , N. 2004 Hilbert-Huang based approach for structural damage detection Journal of engineering mechanics 130 1 85 95
- Xu , Y. L. , & Chen , J. 2004 Structural damage detection using empirical mode decomposition: experimental investigation Journal of engineering mechanics 130 11 1279 1288
- Pai , P. F. , Huang , L. , Hu , J. , & Langewisch , D. R. 2008 Time-frequency method for nonlinear system identification and damage detection Structural Health Monitoring 7 2 103 127
- Chen , H. G. , Yan , Y. J. , Chen , W. H. , Jiang , J. S. , Yu , L. , & Wu , Z. Y. 2007 Early damage detection in composite wingbox structures using Hilbert-Huang transform and genetic algorithm Structural Health Monitoring 6 4 281 297
- Rilling , G. , Flandrin , P. , & Goncalves , P. 2003 On empirical mode decomposition and its algorithms IEEE-EURASIP workshop on nonlinear signal and image processing 3 8 11 Grado, Italy
- Bendat , J. S. , & Piersol , A. G. 2011 Random data: analysis and measurement procedures 729 John Wiley & Sons